Multivariate Variational Mode Decomposition based approach for Blink Removal from EEG Signal

Gavas, Rahul; Jaiswal, Dibyanshu; Chatterjee, Debatri; Viraraghavan, Venkata Subramanian; Ramakrishnan, Ramesh Kumar

doi:10.1109/percomworkshops48775.2020.9156206

Cited by 12 publications

(9 citation statements)

References 13 publications

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“…This artifact mainly affects the frontal channels due to their vicinity from the eyes (Sinha et al, 2015a). Most of these artifacts falls below 4-5 Hz range (Gavas et al, 2020). 2.…”

Section: Power Line Interference: Strong Signals Resulting From A/cmentioning

confidence: 99%

“…The main issue faced in any EEG-based artifact removal studies, particularly when it comes to the removal of other physiological effects like ECG, EOG from EEG is the absence of exact ground truth (Gavas et al, 2020). Usage of simulated data becomes a straightforward approach of validating the designed noise removal algorithms in such cases.…”

Section: Challenges Involved In Optimization Of Bci Pipelinesmentioning

confidence: 99%

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Brain-Computer Interfaces for Perception, Learning, and Motor Control

2021

Frontiers Research Topics

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About FrontiersFrontiers is more than just an open-access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers Journal SeriesThe Frontiers Journal Series is a multi-tier and interdisciplinary set of open-access, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers Journal Series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to QualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation.

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“…This artifact mainly affects the frontal channels due to their vicinity from the eyes (Sinha et al, 2015a). Most of these artifacts falls below 4-5 Hz range (Gavas et al, 2020). 2.…”

Section: Power Line Interference: Strong Signals Resulting From A/cmentioning

confidence: 99%

Section: Challenges Involved In Optimization Of Bci Pipelinesmentioning

confidence: 99%

Brain-Computer Interfaces for Perception, Learning, and Motor Control

2021

Frontiers Research Topics

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“…This artifact mainly affects the frontal channels due to their vicinity from the eyes (Sinha et al, 2015a ). Most of these artifacts falls below 4–5 Hz range (Gavas et al, 2020 ).…”

Section: Formulation Of Optimization Problems In Bcimentioning

confidence: 99%

“…The main issue faced in any EEG-based artifact removal studies, particularly when it comes to the removal of other physiological effects like ECG, EOG from EEG is the absence of exact ground truth (Gavas et al, 2020 ). Usage of simulated data becomes a straightforward approach of validating the designed noise removal algorithms in such cases.…”

Section: Challenges Involved In Optimization Of Bci Pipelinesmentioning

confidence: 99%

“…In such cases, the usage of conventional signal processing tools or even optimization-based data driven methods perform somewhat similar, as setting up the proper basis functions is difficult in such cases. However, mode decomposition algorithms are seen to be a better alternatives in such cases (Gavas et al, 2020 ) involving simulated or real EEG data.…”

Section: Challenges Involved In Optimization Of Bci Pipelinesmentioning

confidence: 99%

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Formulation of the Challenges in Brain-Computer Interfaces as Optimization Problems—A Review

Fathima¹,

Kore

2021

Front. Neurosci.

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Electroencephalogram (EEG) is one of the common modalities of monitoring the mental activities. Owing to the non-invasive availability of this system, its applicability has seen remarkable developments beyond medical use-cases. One such use case is brain-computer interfaces (BCI). Such systems require the usage of high resolution-based multi-channel EEG devices so that the data collection spans multiple locations of the brain like the occipital, frontal, temporal, and so on. This results in huge data (with high sampling rates) and with multiple EEG channels with inherent artifacts. Several challenges exist in analyzing data of this nature, for instance, selecting the optimal number of EEG channels or deciding what best features to rely on for achieving better performance. The selection of these variables is complicated and requires a lot of domain knowledge and non-invasive EEG monitoring, which is not feasible always. Hence, optimization serves to be an easy to access tool in deriving such parameters. Considerable efforts in formulating these issues as an optimization problem have been laid. As a result, various multi-objective and constrained optimization functions have been developed in BCI that has achieved reliable outcomes in device control like neuro-prosthetic arms, application control, gaming, and so on. This paper makes an attempt to study the usage of optimization techniques in formulating the issues in BCI. The outcomes, challenges, and major observations of these approaches are discussed in detail.

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